303 lines
10 KiB
Plaintext
303 lines
10 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "72eae2b0-1402-4fa4-a0ff-d859cf8e7bcf",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"from osgeo import gdal\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "1fb1c1cb-6e43-442c-a8ea-e8b61a4108bc",
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"metadata": {},
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"outputs": [],
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"source": [
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"def read_img(filename):\n",
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" data = gdal.Open(filename) # 打开文件\n",
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" im_width = data.RasterXSize # 读取图像行数\n",
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" im_height = data.RasterYSize # 读取图像列数\n",
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"\n",
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" im_geotrans = data.GetGeoTransform()\n",
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" # 仿射矩阵，左上角像素的大地坐标和像素分辨率。\n",
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" # 共有六个参数，分表代表左上角x坐标；东西方向上图像的分辨率；如果北边朝上，地图的旋转角度，0表示图像的行与x轴平行；左上角y坐标；\n",
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" # 如果北边朝上，地图的旋转角度，0表示图像的列与y轴平行；南北方向上地图的分辨率。\n",
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" im_proj = data.GetProjection() # 地图投影信息\n",
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" im_data = data.ReadAsArray(0, 0, im_width, im_height) # 此处读取整张图像\n",
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" # ReadAsArray(<xoff>, <yoff>, <xsize>, <ysize>)\n",
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" # 读出从(xoff,yoff)开始，大小为(xsize,ysize)的矩阵。\n",
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" del data # 释放内存，如果不释放，在arcgis，envi中打开该图像时会显示文件被占用\n",
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"\n",
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" return im_proj, im_geotrans, im_data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "24c38f93-9d68-46b7-a7f8-0124d98384e2",
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"metadata": {},
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"outputs": [],
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"source": [
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"def readtxt(file_path):\n",
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" print(\"read file path:\\t\",file_path)\n",
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" with open(file_path,'r',encoding='utf-8') as fp:\n",
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" line=fp.readlines()\n",
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" print(line)\n",
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" return line"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "04e4be06-3561-4e74-975a-5e8687cb1385",
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"metadata": {},
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"outputs": [],
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"source": [
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"def writetiff(outname,data,nl,ns,im_proj,im_geotrans,nband=2):\n",
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" # 创建.tif文件\n",
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" driver = gdal.GetDriverByName(\"GTiff\")\n",
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" out_tif = driver.Create(outname, ns, nl, nband, gdal.GDT_Float32)\n",
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" #geotransform = (LonMin, Lon_Res, 0, LatMax, 0, -Lat_Res)\n",
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" out_tif.SetGeoTransform(im_geotrans) \n",
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" # 获取地理坐标系统信息，用于选取需要的地理坐标系统 \n",
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" #srs = osr.SpatialReference()\n",
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" #proj_type = 'GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]'\n",
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" out_tif.SetProjection(im_proj) # 给新建图层赋予投影信息 \n",
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" # 数据写出 \n",
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" for i in range(nband):\n",
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" out_tif.GetRasterBand(i+1).WriteArray(data[i]) # 将数据写入内存，此时没有写入硬盘\n",
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" out_tif.FlushCache() # 将数据写入硬盘\n",
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" out_tif = None # 注意必须关闭tif文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "919de6ec-8441-4fa1-bbc3-4c9a7f1ec0cb",
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"metadata": {},
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"outputs": [],
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"source": [
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"def writetiff_NoProj(outname,data,nl,ns,nband=2):\n",
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" # 创建.tif文件\n",
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" driver = gdal.GetDriverByName(\"GTiff\")\n",
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" out_tif = driver.Create(outname,nl,ns,Lon_Res,Lat_Res,LonMin, LatMax, LonMax, nband, gdal.GDT_Float32)\n",
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" #geotransform = (LonMin, Lon_Res, 0, LatMax, 0, -Lat_Res)\n",
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" #out_tif.SetGeoTransform(geotransform) \n",
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" # 获取地理坐标系统信息，用于选取需要的地理坐标系统 \n",
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" #srs = osr.SpatialReference()\n",
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" #proj_type = 'GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AXIS[\"Latitude\",NORTH],AXIS[\"Longitude\",EAST],AUTHORITY[\"EPSG\",\"4326\"]]'\n",
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" #out_tif.SetProjection(proj_type) # 给新建图层赋予投影信息 \n",
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" # 数据写出 \n",
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" for i in range(nband):\n",
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" out_tif.GetRasterBand(i+1).WriteArray(data[i]) # 将数据写入内存，此时没有写入硬盘\n",
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" out_tif.FlushCache() # 将数据写入硬盘\n",
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" out_tif = None # 注意必须关闭tif文件"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "af5414eb-f97a-4811-9f32-a4b533b513eb",
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"metadata": {},
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"outputs": [],
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"source": [
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"master_path=r\"D:\\backsigma\\microproduct\\vegetationHeight-L-SAR-V1.0\\vegetationPhenology\\track_master\"\n",
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"slave_path=r\"D:\\backsigma\\microproduct\\vegetationHeight-L-SAR-V1.0\\vegetationPhenology\\track_slave\"\n",
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"file_list=[\"s11.bin\",\"s12.bin\",\"s21.bin\",\"s22.bin\"]\n",
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"config_path=r\"config.txt\"\n",
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"mapinfo_path=r\"config_mapinfo.txt\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "4100846c-faab-48e8-af6c-f86e02686ad1",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"read file path:\t D:\\backsigma\\microproduct\\vegetationHeight-L-SAR-V1.0\\vegetationPhenology\\track_master\\config.txt\n",
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"['Nrow\\n', '105\\n', '---------\\n', 'Ncol\\n', '141\\n', '---------\\n', 'PolarCase\\n', 'monostatic\\n', '---------\\n', 'PolarType\\n', 'full\\n']\n",
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"read file path:\t D:\\backsigma\\microproduct\\vegetationHeight-L-SAR-V1.0\\vegetationPhenology\\track_master\\config_mapinfo.txt\n",
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"['Sensor\\n', 'NONE\\n', '---------\\n', 'MapInfo\\n', 'map info = {UTM,1,1,0.0,0.0,1.0,1.0,30,North}\\n', '---------\\n', 'MapProj\\n', 'UTM\\n', '1\\n', '1\\n', '1.0\\n', '1.0\\n']\n"
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]
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}
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],
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"source": [
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"config_text=readtxt(os.path.join(master_path,config_path))\n",
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"mapinfo_text=readtxt(os.path.join(master_path,mapinfo_path))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "801b6bad-4fa5-422c-8894-97d3cc995874",
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"metadata": {},
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"outputs": [],
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"source": [
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"for file in file_list:\n",
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" filepath=os.path.join(master_path,file)\n",
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" im_proj, im_geotrans, im_data=read_img(filepath)\n",
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" data=[im_data.real,im_data.imag]\n",
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" writetiff_NoProj(os.path.join(master_path,file.replace(\".bin\",\".tiff\")),data,105,141,nband=2)\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "2c3be0df-cc37-43ff-8cd7-704a903438a7",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(105, 141)"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"im_data.shape"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "d2d4b4fb-89f2-4eb9-b93a-7b1ae7f29682",
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"metadata": {},
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"outputs": [],
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"source": [
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"for file in file_list:\n",
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" filepath=os.path.join(slave_path,file)\n",
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" im_proj, im_geotrans, im_data=read_img(filepath)\n",
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" data=[im_data.real,im_data.imag]\n",
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" writetiff_NoProj(os.path.join(slave_path,file.replace(\".bin\",\".tiff\")),data,105,141,nband=2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"id": "88faf53c-49e9-453b-b345-728701b82ede",
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"metadata": {},
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"outputs": [],
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"source": [
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"c=np.ones((105,141))\n",
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"c=c*np.array(list(range(141)))\n",
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"r=np.ones((105,141)).transpose()\n",
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"r=(r*np.array(list(range(105)))).transpose()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"id": "7631cf12-160f-4be6-af62-240df8b70ff3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"array([[ 0., 1., 2., ..., 138., 139., 140.],\n",
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" [ 0., 1., 2., ..., 138., 139., 140.],\n",
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" [ 0., 1., 2., ..., 138., 139., 140.],\n",
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" ...,\n",
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" [ 0., 1., 2., ..., 138., 139., 140.],\n",
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" [ 0., 1., 2., ..., 138., 139., 140.],\n",
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" [ 0., 1., 2., ..., 138., 139., 140.]])"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"c"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"id": "cc788f4a-96f3-4723-842c-7973ee998e1c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"(105, 141) (105, 141)\n"
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]
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}
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],
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"source": [
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"print(c.shape,r.shape)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"id": "1027bafc-892d-4d03-99f2-0b030d433e9b",
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"metadata": {},
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"outputs": [],
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"source": [
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"data=[r,c]\n",
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"writetiff(os.path.join(master_path,\"ori_sim.tif\"),data,105,141,im_proj,im_geotrans,2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"id": "84aab2a4-3b48-4aac-a3a5-b804e8f431ed",
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"metadata": {},
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"outputs": [],
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"source": [
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"data=[np.ones((105,141))*45.0]\n",
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"writetiff(os.path.join(master_path,\"out_orth_sar_incidence.tif\"),data,105,141,im_proj,im_geotrans,1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "63191526-29c4-4e7c-bb63-30bc9c5c6788",
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"metadata": {},
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"outputs": [],
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"source": [
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"data=[np.ones((105,141))*0]\n",
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"writetiff(os.path.join(master_path,\"ori_sim.tif\"),data,105,141,im_proj,im_geotrans,1)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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|
|
"mimetype": "text/x-python",
|
|||
|
|
"name": "python",
|
|||
|
|
"nbconvert_exporter": "python",
|
|||
|
|
"pygments_lexer": "ipython3",
|
|||
|
|
"version": "3.8.13"
|
|||
|
|
}
|
|||
|
|
},
|
|||
|
|
"nbformat": 4,
|
|||
|
|
"nbformat_minor": 5
|
|||
|
|
}
|